Three-dimensional image reconstruction based on improved U-net network for anatomy of pulmonary segmentectomy

Xuefei Deng; Yu Liu; Hao Chen; Xuefei Deng; Yu Liu; Hao Chen

doi:10.3934/mbe.2021165

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 4: 3313-3322. doi: 10.3934/mbe.2021165

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Research article Special Issues

Three-dimensional image reconstruction based on improved U-net network for anatomy of pulmonary segmentectomy

1.
Department of Human Anatomy, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China
2.
Department of Thoracic Surgery, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China

Academic Editor: Kelvin Wong

Received: 05 March 2021 Accepted: 07 April 2021 Published: 13 April 2021

Pulmonary segmentectomy is one of the advanced techniques in thoracic surgery, but it is difficult to understand and master because of its complex anatomical structure. The purpose of this study is to explore the application effect of three-dimensional (3D) image reconstruction based on an improved U-net network in the anatomy of thoracic surgery. In this study, a total of 40 standardization training residents of thoracic surgery in our hospital were randomly divided into two groups. The control group was taught by conventional thin-slice CT images, while the observation group was taught by 3D image reconstruction based on the improved U-net network. After the training process was completed, the teaching effect was compared between these two groups. Using the improved U-net network model, 3D reconstruction of pulmonary segments can be realized quickly. Compared with the control group, the individual and total objective scores in the observation group were higher. The satisfaction of learning interest, content understanding, clinical thinking mode, and understanding of operation process in the observation group was higher than that of the control group. From the results, we concluded that the 3D image reconstruction technology based on the improved U-net network could help students master the anatomical structure of pulmonary segments and improve their learning interest and clinical thinking ability.

Keywords:

Citation: Xuefei Deng, Yu Liu, Hao Chen. Three-dimensional image reconstruction based on improved U-net network for anatomy of pulmonary segmentectomy[J]. Mathematical Biosciences and Engineering, 2021, 18(4): 3313-3322. doi: 10.3934/mbe.2021165

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Abstract

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